|本期目录/Table of Contents|

[1]阳军生,王子建,汤 宇,等.基于图像三维重建的隧道喷射混凝土回弹率测定方法研究[J].建筑科学与工程学报,2024,41(02):106-114.[doi:10.19815/j.jace.2022.04046]
 YANG Junsheng,WANG Zijian,TANG Yu,et al.Research on method for measuring rebound rate of shotcrete in tunnels based on image 3D reconstruction[J].Journal of Architecture and Civil Engineering,2024,41(02):106-114.[doi:10.19815/j.jace.2022.04046]
点击复制

基于图像三维重建的隧道喷射混凝土回弹率测定方法研究(PDF)
分享到:

《建筑科学与工程学报》[ISSN:1673-2049/CN:61-1442/TU]

卷:
41卷
期数:
2024年02期
页码:
106-114
栏目:
桥隧工程
出版日期:
2024-03-30

文章信息/Info

Title:
Research on method for measuring rebound rate of shotcrete in tunnels based on image 3D reconstruction
文章编号:
1673-2049(2024)02-0106-09
作者:
阳军生1,王子建2,汤 宇3,梁 雄1,刘德安3
(1. 中南大学 土木工程学院,湖南 长沙 410075; 2. 湖南航天建筑工程有限公司,湖南 长沙 410205; 3. 中铁五局集团第一工程有限责任公司,长沙 湖南 410021)
Author(s):
YANG Junsheng1, WANG Zijian2, TANG Yu3, LIANG Xiong1, LIU Dean3
(1. School of Civil Engineering, Central South University, Changsha 410075, Hunan, China; 2. Hunan Aerospace Construction Engineering Co., Ltd., Changsha 410205, Hunan, China; 3. China Railway Fifth Bureau Group First Engineering Co., Ltd., Changsha 410021, Hunan, China)
关键词:
隧道 喷射混凝土回弹率 三维图像点云 图像三维重建
Keywords:
tunnel shotcrete rebound rate 3D image point cloud image 3D reconstruction
分类号:
TU317
DOI:
10.19815/j.jace.2022.04046
文献标志码:
A
摘要:
针对复杂隧道施工环境下如何快速、准确测量喷射混凝土回弹率的问题,基于机器视觉三维重建技术中的主要理论和算法,提出了一种新的隧道喷射混凝土回弹率测定方法。该方法通过坐标标记版和手持相机快速采集图像,基于运动恢复结构(SFM)算法、基于面片的密集匹配(PMVS)算法与三角剖分原则实现隧道实际开挖轮廓及初支内轮廓的三维曲面网格模型的建立; 通过网格射线法,将隧道实际开挖轮廓与初支内轮廓三维网格模型进行空间差值求解,获得初支实际有效的喷射混凝土体积; 最后,结合实际喷射混凝土总用量,完成喷射混凝土回弹量的测定,并以郑万高铁巴东隧道为依托进行现场试验与应用。结果表明:所提方法测得的喷射混凝土回弹率比传统现场称重法测试结果更为合理,准确性更高,说明该方法能够较好地实现喷射混凝土回弹率的测试; 在现场应用中,结合喷射混凝土回弹率的测试结果提出的降低回弹率的施工质量控制建议,现场采用后施工良好,保证了隧道施工质量; 该测定方法简便高效、成本低、不干扰施工,具有较好的工程应用价值。
Abstract:
Aiming at the problem of how to quickly and accurately measure the rebound rate of shotcrete in complex tunnel construction environments, a new method for measuring the rebound rate of shotcrete in tunnels was proposed based on the main theories and algorithms in machine vision 3D reconstruction technology. The method used coordinate markers and handheld cameras to quickly capture images, and based on the structure of motion recovery(SFM)algorithm, patch-based multi-view stereo(PMVS)algorithm, and triangulation principle, a three-dimensional surface mesh model of the actual excavation contour and initial support inner contour of the tunnel was established. By using the grid ray method, the spatial difference between the actual excavation contour of the tunnel and the three-dimensional mesh model of the initial support inner contour was solved to obtain the actual effective volume of shotcrete for the initial support. Finally, based on the actual total amount of shotcrete, the determination of the rebound amount of shotcrete was completed. Field tests and applications were carried out in the Badong tunnel of Zhengwan high speed railway. The results show that the rebound rate of shotcrete measured by the proposed method is more reasonable and accurate than that of the traditional field weighing method, indicating that the method can better achieve the rebound rate of shotcrete. In on-site application, combined with the test results of the rebound rate of shotcrete, suggestions for reducing the rebound rate in construction quality control is well constructed after being adopted on site, ensuring the quality of tunnel construction. The measurement method has the advantages of simplicity, efficiency, low cost, no interference with construction, and is of good engineering application.

参考文献/References:

[1] 宋伟明.某铁路隧道高性能喷射混凝土施工技术[J].施工技术,2013,42(4):35-37,44.
SONG Weiming.Construction of high performance shotcrete in a railway tunnel[J].Construction Technology,2013,42(4):35-37,44.
[2]赵 爽,王 伟,乔 敏,等.高速隧道喷射混凝土高回弹率原因分析及解决措施[J].混凝土,2019(9):139-141.
ZHAO Shuang,WANG Wei,QIAO Min,et al.Cause analysis of high rebound ratio for sprayed concrete of highway tunnel and strategies[J].Concrete,2019(9):139-141.
[3]陶 坤,李小龙,李 泉.湿喷混凝土在公路隧道初期支护中的施工技术与质量分析[J].公路,2011,56(12):199-204.
TAO Kun,LI Xiaolong,LI Quan.Construction technology and quality analysis of wet shotcrete in initial support of highway tunnel[J].Highway,2011,56(12):199-204.
[4]姜 波.湿喷混凝土回弹率影响因素[J].辽宁工程技术大学学报(自然科学版),2016,35(3):270-273.
JIANG Bo.Influence factors rebound rate of wet shotcrete[J].Journal of Liaoning Technical University(Natural Science),2016,35(3):270-273.
[5]张慧峰,蒋明慧,张 恒,等.岩爆区与富水洞段隧道湿喷混凝土配合比设计研究[J].水利水电技术,2020,51(1):179-186.
ZHANG Huifeng,JIANG Minghui,ZHANG Heng,et al.Study on concrete mix proportion of grouting parameters and process in tunnel with rock burst and water-rich[J].Water Resources and Hydropower Engineering,2020,51(1):179-186.
[6]宁逢伟,丁建彤,白 银,等.纳米级掺合料和粗合成纤维对湿喷混凝土回弹率的影响[J].水利水运工程学报,2019(1):42-49.
NING Fengwei,DING Jiantong,BAI Yin,et al.Effect of nanometer scale admixture and macro synthetic fiber on the rebound rate of wet mix shotcrete[J].Hydro-science and Engineering,2019(1):42-49.
[7]罗 意.基于三维激光扫描的隧道喷射混凝土回弹测定[J].工程技术研究,2019,4(18):102-103.
LUO Yi.Determination of springback of tunnel shotcrete based on 3D laser scanning[J].Engineering and Technological Research,2019,4(18):102-103.
[8]李 康,周泩朴,邹林波,等.基于无人机的大场景序列图像自动采集和三维建模[J].西北大学学报(自然科学版),2017,47(1):30-37.
LI Kang,ZHOU Shengpu,ZOU Linbo,et al.Sequence images automatic capturing and 3D modeling method for large scale scene based on unmanned aerial vehicle[J].Journal of Northwest University(Natural Science Edition),2017,47(1):30-37.
[9]贾 洋,李升甫.基于SFM和PMVS的倾斜影像三维建模方法研究与实现[J].测绘,2020,43(1):3-6,14.
JIA Yang,LI Shengfu.Research and implementation of 3D modeling from oblique images based on SFM and PMVS[J].Surveying and Mapping,2020,43(1):3-6,14.
[10]董建伟,李海滨,孔德明,等.基于多视图立体视觉的煤场三维建模方法研究[J].燕山大学学报,2016,40(2):136-141.
DONG Jianwei,LI Haibin,KONG Deming,et al.Research on 3D modeling of coal field based on multi-view stereo vision method[J].Journal of Yanshan University,2016,40(2):136-141.
[11]阳军生,张 宇,祝志恒,等.基于图像三维重建的隧道超欠挖检测方法研究[J].中南大学学报(自然科学版),2020,51(3):714-723.
YANG Junsheng,ZHANG Yu,ZHU Zhiheng,et al.Study on tunnel under-over break detection method based on three-dimensional image reconstruction technology[J].Journal of Central South University(Science and Technology),2020,51(3):714-723.
[12]张 宇,阳军生,祝志恒,等.基于图像点云的多维度隧道初期支护大变形监测研究和应用[J].隧道建设(中英文),2021,41(5):795-802.
ZHANG Yu,YANG Junsheng,ZHU Zhiheng,et al.Study and application of a multi-dimensional large deformation monitoring method based on image point cloud for primary support of a tunnel[J].Tunnel Construction,2021,41(5):795-802.
[13]SNAVELY N,SEITZ S M,SZELISKI R.Photo tourism:exploring photo collections in 3D[J].ACM Transactions on Graphics,25(3):835-846.
[14]FURUKAWA Y,PONCE J.Accurate,dense,and robust multiview stereopsis[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2010,32(8):1362-1376.
[15]陈 伟,刘肖琳.一种快速三维散乱点云的三角剖分算法[J].计算机仿真,2009,26(9):338-341.
CHEN Wei,LIU Xiaolin.A fast triangulation algorithm for unorganized 3-D points[J].Computer Simulation,2009,26(9):338-341.
[16]祝志恒,傅金阳,阳军生.隧道开挖支护质量3DZI检测技术及应用研究[J].中国公路学报,2020,33(12):176-189.
ZHU Zhiheng,FU Jinyang,YANG Junsheng.Quality detection for tunnel excavation and support based on 3DZI[J].China Journal of Highway and Transport,2020,33(12):176-189.
[17]曾宪桃,任振华,王兴国.磁化水降低喷射混凝土粉尘浓度与减少回弹的试验研究[J].煤炭学报,2014,39(4):705-712.
ZENG Xiantao,REN Zhenhua,WANG Xingguo.Experimental investigations on reducing the dust density and the rebound rate of shotcrete by using magnetized water[J].Journal of China Coal Society,2014,39(4):705-712.

相似文献/References:

备注/Memo

备注/Memo:
收稿日期:2023-04-11
基金项目:中铁五局集团2018年科技开发计划项目(201805)
作者简介:阳军生(1969-),男,工学博士,教授,博士生导师,E-mail:jsyang@csu.edu.cn。
更新日期/Last Update: 2024-03-25